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This article develops a geometric framework for detecting targets, in the form of regions of interest, from certain sonar imagery. The main idea is to extract level sets from voxel images and compute local geometric features of the resulting surfaces. Examples include Gaussian and principal curvatures, radial distances, patch areas etc. These features are then compressed into histograms, or estimated...
Due to waveguide dispersion and array shape distortion, target's energy spreads in the vicinity of direction of arrival in spatial orientation spectrum. To solve this problem, a spatial spectrum estimation method using beam signal spectral decomposition is proposed. Utilizing correlation between signals which spread in multiple beams, beam signal spectrum is decomposed using singular value decomposition...
As the complexity of the ocean environment, shape of towed array changes with time and space, so the accurate measurement shape of towed array is the key to improve the performance of signal processing. To solve this problem this paper proposes an estimation method based on genetic algorithm, firstly, established the objective function according to a known distance and azimuth of the target by beam...
Inverter is an integral part of any renewable energy conversion system. For a multilevel inverter, attempt is to obtain an output voltage which is near sinusoidal in shape. The switching angles and the voltage levels are decided in such a way so as to maximize the fundamental component with minimum THD. In this paper, it is shown how a simple method like Grey Analysis method can be used to decide...
We present OctNet, a representation for deep learning with sparse 3D data. In contrast to existing models, our representation enables 3D convolutional networks which are both deep and high resolution. Towards this goal, we exploit the sparsity in the input data to hierarchically partition the space using a set of unbalanced octrees where each leaf node stores a pooled feature representation. This...
The increasing use of machine learning algorithms, such as Convolutional Neural Networks (CNNs), makes the hardware accelerator approach very compelling. However the question of how to best design an accelerator for a given CNN has not been answered yet, even on a very fundamental level. This paper addresses that challenge, by providing a novel framework that can universally and accurately evaluate...
Modern reconfigurable computing chips, such as FPGAs, offer an unprecedented opportunity to achieving both multifunctionality and real-time responsiveness for memoryintensive embedded applications. However, how to cost-effectively synthesize application-specific hardware constructs that fully exploit memory-level parallelism remains to be a key challenge. To address this problem, we propose a new...
For many intensive computing tasks, simultaneous data access into multi-dimensional data arrays is highly restricted by its data mapping strategy and memory port constraint. As such, to increase memory accessing bandwidth, innovative memory partitioning and mapping algorithms have been proposed to simultaneously access multiple memory blocks through physically distributing data elements in the same...
3D Surfaces are widely employed to model geometric assets (e.g., mountains on a landscape), which are used in digital animations and video games. A single surface commonly needs to be created and modified by a group of collaborators, but most of the 3D content creation applications are essentially single-user. In addition, such surfaces are visualized in 2D projections, causing confusion to new users,...
The max-tree is a mathematical morphology data structure that represents an image through the hierarchical relationship of connected components resulting from different thresholds. It was proposed in 1998 by Salembier et al., since then,many efficient algorithms to build and process it were proposed.There are also efficient algorithms to extract size, shape and contrast attributes of the max-tree...
It is found that data placement on the networked nodes of a cluster based on the shared-nothing architecture (SNA) should align in the physical (i.e. spatiotemporal) space for most geoscience Big Data analysis systems in order to minimize data movements and thus achieve optimal performance and efficiency. This is due to the fact that data analysis in geosciences predominantly requires spatiotemporal...
Uniform linear array is a kind of very important underwater acoustic detection equipment, it mainly divided into two kinds: rigid array and flexible array. Rigid array is the best means to obtain ideal detection result, but the layout and recovery is difficult. Flexible array is used more popular for its easy to operation, but the array shape is difficult to maintain. Shape distortion of the flexible...
This paper designs a plankton particle diameter measurement instrument based on laser projection, which uses laser light source to irradiate the photodiode array, and then collects plankton shape data with the shielding effect. The system reconstructs the morphological characteristics of plankton by using the time axis scanning, to complete the collection and analysis of marine plankton particle size...
Deep learning using convolutional neural networks (CNN) gives state-of-the-art accuracy on many computer vision tasks (e.g. object detection, recognition, segmentation). Convolutions account for over 90% of the processing in CNNs for both inference/testing and training, and fully convolutional networks are increasingly being used. To achieve state-of-the-art accuracy requires CNNs with not only a...
In this paper, a region-based symbolic three-valued logic (RSTVL) is to describe the storage state of a momory object. RSTVL utilises abstract region to simulate the block of the concrete memory, a symbolic expression to express the value of a memory object, and the interval domain to describe the value of each symbol of symbolic expression, and then various operations for memory objects are mapped...
Changes to bone density (BV/TV) due to ageing or diseases such as osteoporosis is well documented. Changes in the structure of cancellous bone are less well understood. In addition, changes in structure as a function of distance from the growth plate have not received much attention. One obstacle in studying structure changes is in quantifying the irregular shapes of trabeculae that constitute cancellous...
It is important to distinguish overlapped cell for tracking and segmentation biological cells from images. In this research, a novel or comprehensive method is provided with morphological features of cell and minimum distance for overlapped cells separation (OCS). it’s necessary to say that this algorithm is not based on type and number of Overlapped cells. In this presented method based on a distance...
We present a technique for locating landmarks in images of human faces. We replace the 1D gradient profiles of the classical Active Shape Model (ASM) (Cootes and Taylor, 1993) with a simplified form of SIFT descriptors (Lowe, 2004), and use Multivariate Adaptive Regression Splines (MARS) (Friedman, 1991) for descriptor matching. This modified ASM is fast and performs well against existing techniques...
This study offered a preliminary look at the acoustic and auditory performances in an isolated monosyllable environment of the three level tones (i.e. High, Mid and Low tones) in Thai via several relevant acoustic and perception experiments. The results show that Mid tone is the only one which can be accepted as a level tone either in production or in perception and Low tone has two main variants:...
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